As a member of our Software Engineering team, we look for people who are passionate around solving business problems through innovation and engineering practices. You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You'll work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.
The Controls technology team's mission is to leverage large datasets for use in various application for monitoring and oversight of investments business in Wealth management. As a Data Engineer, you will be responsible for building the foundational data layer critical to the success of various applications.
- Build large-scale batch, ETL and real-time data pipelines using cloud and on-premises data technologies, such as S3, Python, Spark, PySpark, and Apache Kafka
- Design best practices for data processing, data modeling and warehouse development throughout our team and group
- Develop strategy to provide proactive solutions and enable stakeholders to extract insights and value from data
- Understand end to end data interactions and dependencies across complex data pipelines and data transformation and how they impact business decisions.
This role requires a wide variety of strengths and capabilities, including:
- BS/BA degree or equivalent experience
- Advanced knowledge of application, data, and infrastructure architecture disciplines
- Understanding of architecture and design across all systems
- Working proficiency in developmental toolsets
- Knowledge of industry-wide technology trends and best practices
- Ability to work in large, collaborative teams to achieve organizational goals
- Passionate about building an innovative culture
- Proficiency in one or more modern programming languages
- Understanding of software skills such as business analysis, development, maintenance, and software improvement
- Advanced level skills in SQL, data integration, data modeling and data architecture
- Hands-on experience in Python its standard library and its package
- Hands-on experience building a data warehouse and data pipelines using Java, Python or Scala in a data intensive engineering role
- Hands-on experience with data warehouse / data lake architectures based on Hadoop, Redshift or Snowflake
- Experience with workflow orchestration tools such as Apache Airflow, Autosys
- Familiarity with data transformation and collection tools such as Pentaho, Informatica
- Experience with stream processing platforms such as Kafka or Dataflow
- Knowledge of data columnar and serialization formats such as JSON, XML, Parquet, Avro
- Experience with container technologies such as Docker and Kubernetes
- Experience with CI/CD systems e.g. Jenkins and automation / DevOps best practices
- Familiarity with AWS ecosystem including S3, Glue, Redshift, Kinesis, EMR, EC2, SQS
- Familiarity of microservices stack based on AWS Lambdas. Elastic Search, Spring Boot, NodeJS
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
Equal Opportunity Employer/Disability/Veterans